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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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machine translation relying on state-of-the-art deep neural models and architectures (LLMs). The work is to be carried out in the context of the Horizon Europe project IDEAL (Inclusive Democratic Engagement
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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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conditions. Conducting mechanistic studies to determine the thermodynamics and kinetics of key reaction pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance
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preclinical models. The work will include: Developing and optimizing radiochemical labelling protocols for nanomotor formulations. Performing quality control, stability, and dosimetry studies of radiolabelled
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the foundations of quantum theory to the study of many-body quantum systems or quantum thermodynamics. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1045
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and outreach. Co-supervision of PhD students, MSc and/or exchange students. Active contribution to group meetings and discussions. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail
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various scientific and industrial fields, such as, for example, quantum simulation and optimization. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1044
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. The successful candidate will be joining the Quantum Optics Theory group led by Prof. Dr. Maciej Lewenstein. The successful candidate will work on Machine Learning research. Share this opening! Use the following